Maria K.
About Maria K.
Maria K. is a Data Analyst at WonderFi in Toronto, Ontario, specializing in data analysis and reporting. She has a strong educational background in data science and law, with experience in various data analysis tools and programming languages.
Work at WonderFi
Maria K. has been employed at WonderFi as a Data Analyst since 2023. In this role, she focuses on data analysis for CoinSmart and SmartPay, contributing to the company's data-driven decision-making processes. Her position is based in Toronto, Ontario, Canada, where she applies her analytical skills to support various projects.
Education and Expertise
Maria K. has a comprehensive educational background in data science and law. She completed the MicroMasters® Program in Statistics and Data Science through MITx from 2021 to 2023. Additionally, she holds a Data Science Certificate from the University of Toronto. Her legal education includes a Bachelor of Laws (LL.B.) from the Griboyedov Institute of International Law and Economics, completed from 2000 to 2004. Maria also studied Python and Tableau, earning a Big Data Programming Tools Certificate from Ryerson University.
Background
Before joining WonderFi, Maria K. worked as a Data Analyst at CoinSmart from 2020 to 2023. During her tenure, she gained valuable experience in data analysis and reporting. Her background includes strong technical skills in various data analysis tools and programming languages, which she has developed through her education and work experience in the field.
Technical Skills and Tools
Maria K. possesses advanced skills in MS Excel for data analysis and reporting. She is experienced in using business intelligence tools such as Metabase and Tableau for data visualization. Additionally, she is proficient in managing and querying databases using MS SQL Server and PostgreSQL. Her expertise extends to essential Python libraries, including NumPy, Pandas, and Matplotlib, which she employs for data manipulation and visualization. Maria also has experience with Salesforce for data management and analysis.